Instructions to use TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF", dtype="auto")

llama-cpp-python

How to use TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF",
	filename="phind-codellama-34b-python-v1.Q2_K.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF with Ollama:
```
ollama run hf.co/TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M
```

Unsloth Studio

How to use TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF with Docker Model Runner:
```
docker model run hf.co/TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M
```

Lemonade

How to use TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Phind-CodeLlama-34B-Python-v1-GGUF-Q4_K_M

List all available models

lemonade list

This might be the best coding model (Better than wizardcoder_python_34b)

by rombodawg - opened Aug 27, 2023

Discussion

rombodawg

Aug 27, 2023

•

edited Aug 27, 2023

This is the first model to pass my "code snake in python" test. The only other model that passed this was gpt 3.5

And yes i tested wizardcoder_python_34b it failed the code snake in python test

The following prompt was used to create the code for snake in text generation web ui

Prompt:
I need you to write 1 piece of python code for a functioning game of snake. Make sure to fill every line of code completely, do not leave any place holders, as logic for the code must be thought of now and implemented in this generation.

Make sure the game have a window to play in, has proper working food for the snake to collect, has the ability for the snake to eat the food and grow from the eaten food, has the ability for the snake to die from running into itself or the border of the window, and has a restart button once the game is over to play the game over again.

Make sure the game has a simple visual graphical interface for the user to see when playing, you will have to code this yourself. Absolutely make sure everything mentioned in the code is written, do not leave a class that is mentioned somewhere but not written out properly elsewhere Please follow this format when writing the code:
FILENAME